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2020 – today
- 2022
[j3]Kunning Tang
, Quentin Meyer, Robin White, Ryan T. Armstrong, Peyman Mostaghimi, Ying Da Wang, Shiyang Liu, Chuan Zhao, Klaus Regenauer-Lieb, Patrick Kin Man Tung:
Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells. Comput. Chem. Eng. 161: 107768 (2022)- 2021
- [j2]Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi:
Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images. Appl. Soft Comput. 104: 107185 (2021) - 2020
- [j1]Ying Da Wang, Traiwit Chung, Ryan T. Armstrong, James E. McClure, Thomas Ramstad, Peyman Mostaghimi:
Accelerated Computation of Relative Permeability by Coupled Morphological and Direct Multiphase Flow Simulation. J. Comput. Phys. 401 (2020) - [c1]James E. McClure, Junqi Yin, Ryan T. Armstrong, Ketan C. Maheshwari, Sean R. Wilkinson, Lucas Vlcek, Ying Da Wang, Mark A. Berrill, Mark Rivers:
Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows with AI and HPC. SMC 2020: 226-239 - [i4]Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi:
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images. CoRR abs/2002.05322 (2020) - [i3]Ying Da Wang, Traiwit Chung, Ryan T. Armstrong, Peyman Mostaghimi:
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media. CoRR abs/2004.11675 (2020)
2010 – 2019
- 2019
- [i2]Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi:
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images. CoRR abs/1904.07470 (2019) - [i1]Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi:
Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning. CoRR abs/1907.07131 (2019)
Coauthor Index
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